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Data Analyst
Data Analyst for a vehicle telematics company, performing data ELT, cleansing, warehouse projects, dashboard creation, and reporting using Excel, Python, and SQL to derive insights from fleet and vehicle data.
Devops Engineer
DevOps Engineer for a proprietary trading fund, building and maintaining CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), AWS cloud-native microservices on Kubernetes/EKS, Docker containerization, and monitoring solutions using Python scripting.
Database Administrator/Engineer
Database Administrator/Engineer responsible for the reliability, performance, and security of large-scale SQL Server and Azure-based databases on a SaaS platform, collaborating across Platform Operations, Infrastructure, and Product Development teams in a hybrid Toronto setting.
Junior Data Engineer
The Junior Data Engineer will design and maintain ETL pipelines to process environmental data using Python, PySpark, and AWS. This role involves collaborating with senior engineers to support sustainability initiatives through data-driven insights.
Data Engineer – Hybrid – Inside IR35 – SC Cleared
Design, build, and maintain secure data pipelines and ETL/ELT processes using SQL, Python, and cloud technologies within an Agile environment.
Central Functions : Data Engineer
Build and maintain scalable ETL/ELT pipelines on a cloud-native data platform using Databricks, Azure Synapse, and Python, delivering data products and self-serve analytics across an education services group.
Senior Data Engineer
Senior Data Engineer building scalable ELT pipelines and data models on a cloud-native data platform for a FinTech, using DBT, Airflow, Terraform, Python, and SQL on GCP/AWS.
Data Engineer – Hybrid – Inside IR35
The Data Engineer will design, build, and maintain secure data pipelines and ETL/ELT processes within an Agile team. This role requires SC clearance and proficiency in SQL and Python to support cloud-based data platforms.
Senior Data Engineer
The Senior Data Engineer designs and develops large-scale data processing software and persistence components within agile teams. The role involves utilizing Java, Scala, or Python alongside cloud data platforms to build production-ready data systems.
Data Engineer
The Data Engineer will design, build, and maintain robust ETL/ELT pipelines to support predictive algorithms and business insights for banking and cash management. The role requires working with Python, SQL, Spark, and Airflow in an onsite capacity.
Data Engineer
The Data Engineer will design and develop ETL/ELT pipelines and support large-scale data migration and transformation projects. The role requires expertise in data warehousing and cloud platforms, specifically Azure, while maintaining data quality and governance standards.
Data Engineer
This Data Engineer role involves building and maintaining scalable data pipelines and real-time streaming integrations using Java, Python, and cloud-based technologies. The position focuses on data architecture, CI/CD deployment, and infrastructure-as-code within a consulting environment.
Data Engineer
The Principal Data Engineer will design and deliver scalable data ingestion, integration, and transformation pipelines using AWS cloud-native tools and Snowflake. This role involves leading engineering teams, operationalizing ML and GenAI models, and ensuring data governance within banking and insurance domains.
Data Engineer
The Senior Data Engineer will develop and maintain scalable production data pipelines and Snowflake models using dbt. The role involves working with batch and real-time data processing within a global B2B technology environment.
Data Engineer
Data Engineer building production-grade data pipelines and event-stream infrastructure for Ki, an algorithmic Lloyd's of London insurtech carrier, using Python, SQL databases (PostgreSQL, MySQL, BigQuery), cloud platforms (GCP/AWS), and CI/CD.
Data Engineer
Data Engineer building enterprise-scale ETL pipelines and data platforms on AWS using Informatica PowerCenter and relational databases (SQL Server, Oracle, PostgreSQL) for mission-driven government projects.